Accounting for overlapping annotations in genomic prediction models of complex traits.

Exploring drivers of gene expression in the Cancer Genome Atlas.

Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis.

Transformation and model choice for RNA-seq co-expression analysis.

Estimation d'effets causaux dans les réseaux de régulation génique. Vers la grande dimension.

Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models.

Differential meta-analysis of RNA-seq data from multiple studies.

Joint estimation of causal effects from observational and intervention gene expression data.

Data-based filtering for replicated high-throughput transcriptome sequencing experiments.

A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis.

Reverse engineering gene regulatory networks using approximate Bayesian computation.